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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/65961


    Title: Constructing Smooth Tests without Estimating the Eigenpairs of the Limiting Process
    Authors: 徐士勛
    Hsu, Shih-Hsun;Kuan, Chung-Ming
    Contributors: 經濟系
    Keywords: Data-driven method;Eigenpairs;Fourier representation;Karhunen–Loève expansion;Smooth test
    Date: 2014.01
    Issue Date: 2014-05-12 15:51:43 (UTC+8)
    Abstract: Based on the well known Karhunen–Loève expansion, it can be shown that many omnibus tests lack power against “high frequency” alternatives. The smooth tests of Neyman (1937) may be employed to circumvent this power deficiency problem. Yet, such tests may be difficult to compute in many applications. In this paper, we propose a more operational approach to constructing smooth tests. This approach hinges on a Fourier representation of the postulated empirical process with known Fourier coefficients, and the proposed test is based on the normalized principal components associated with the covariance matrix of finitely many Fourier coefficients. The proposed test thus needs only standard principal component analysis that can be carried out using most econometric packages. We establish the asymptotic properties of the proposed test and consider two data-driven methods for determining the number of Fourier coefficients in the test statistic. Our simulations show that the proposed tests compare favorably with the conventional smooth tests in finite samples.
    Relation: Journal of Econometrics, 178 part 1 , 71-79
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1016/j.jeconom.2013.08.007
    DOI: 10.1016/j.jeconom.2013.08.007
    Appears in Collections:[經濟學系] 期刊論文

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